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Found 819 Skills
Visualizes Azure infrastructure from ARM templates, Azure CLI, or descriptions. Use when user has Azure resources to diagram.
Game server architecture, scalability, matchmaking, and backend systems for online games. Build robust, scalable multiplayer infrastructure.
AI trustworthiness testing using OWASP AI Testing Guide v1. Execute 44 test cases across 4 layers (Application, Model, Infrastructure, Data) with practical payloads and remediation.
Advanced pytest patterns including custom markers, plugins, hooks, parallel execution, and pytest-xdist. Use when implementing custom test infrastructure, optimizing test execution, or building reusable test utilities.
Observability visualization with Grafana and LGTM stack. Dashboard design, panel configuration, alerting, variables/templating, and data sources. USE WHEN: Creating Grafana dashboards, configuring panels and visualizations, writing LogQL/TraceQL queries, setting up Grafana data sources, configuring dashboard variables and templates, building Grafana alerts. DO NOT USE: For writing PromQL queries (use /prometheus), for alerting rule strategy (use /prometheus), for general observability architecture (use senior-software-engineer with infrastructure focus). TRIGGERS: grafana, dashboard, panel, visualization, logql, traceql, loki, tempo, mimir, data source, annotation, variable, template, row, stat, graph, table, heatmap, gauge, bar chart, pie chart, time series, logs panel, traces panel, LGTM stack.
Health monitoring knowledge and procedures for infrastructure platforms. Use when assessing system health, running health audits, or setting up monitoring.
Quicknode blockchain infrastructure including RPC endpoints (80+ chains), Streams (real-time data), Webhooks, IPFS storage, Marketplace Add-ons (Token API, NFT API, DeFi tools), Solana DAS API (Digital Asset Standard), Key-Value Store, gRPC streaming (Yellowstone for Solana, Hypercore for Hyperliquid), and x402 pay-per-request RPC. Use when setting up blockchain infrastructure, configuring real-time data pipelines, processing blockchain events, storing data on IPFS, using Quicknode-specific APIs, querying Solana NFTs/tokens/compressed assets, persisting state with Key-Value Store, or building low-latency gRPC streams. Triggers on mentions of Quicknode, Streams, qn_ methods, IPFS pinning, Quicknode add-ons, DAS API, Digital Asset Standard, compressed NFT, cNFT, getAssetsByOwner, searchAssets, Key-Value Store, KV store, qnLib, Yellowstone, gRPC, Geyser, Hypercore, Hyperliquid, HYPE, evm, rpc, ethereum, blockchain, solana, or x402.
Provides comprehensive Google Cloud Platform (GCP) guidance including Compute Engine, Cloud Storage, Cloud SQL, BigQuery, GKE (Google Kubernetes Engine), Cloud Functions, Cloud Run, VPC networking, load balancing, IAM, Cloud Build, infrastructure as code (Terraform, Deployment Manager), security configuration, cost optimization, and multi-region deployment. Produces infrastructure code, deployment scripts, configuration guides, and architecture designs. Use when deploying to Google Cloud, designing GCP infrastructure, migrating to GCP, configuring GCE instances, setting up Cloud Storage, managing Cloud SQL databases, working with BigQuery, deploying to GKE, or when users mention "Google Cloud", "GCP", "Compute Engine", "Cloud Storage", "BigQuery", "GKE", "Cloud Run", "Cloud Functions", "VPC", "Cloud SQL", or "Google Cloud Platform".
Check and configure container infrastructure (builds, registry, scanning, devcontainer)
Use when implementing features, refactors, or fixes that affect core functionality, configuration, infrastructure, or integrations. Ensures documentation stays accurate by updating README, operational guides, and reference docs, and verifying links/commands remain correct.
Deploy and configure your PayRam self-hosted crypto payment gateway server. Install on VPS, set up PostgreSQL database, configure root account, node details, wallets, and hot wallets. Complete deployment and onboarding in under 10 minutes. No signup required — fully self-hosted. Use when deploying PayRam for the first time, setting up server infrastructure, or configuring the PayRam dashboard.
Build and run LLM-as-judge evaluation pipelines using Amazon Bedrock Evaluation Jobs with pre-computed inference datasets. Use when setting up automated model evaluation, designing test scenarios, collecting pre-computed responses, configuring custom metrics, creating AWS infrastructure, running evaluation jobs, parsing results, and iterating on findings.